Uses of Interface
io.druid.data.input.Row

Packages that use Row

Package	Description
io.druid.data.input
io.druid.indexer.hadoop
io.druid.query.groupby
io.druid.query.groupby.having
io.druid.query.groupby.orderby
io.druid.segment.incremental

Uses of Row in io.druid.data.input

Subinterfaces of Row in io.druid.data.input

Modifier and Type	Interface and Description
interface	InputRow An InputRow is the interface definition of an event being input into the data ingestion layer.

Classes in io.druid.data.input that implement Row

Modifier and Type	Class and Description
class	MapBasedInputRow
class	MapBasedRow

Methods in io.druid.data.input with parameters of type Row

Modifier and Type	Method and Description
int	MapBasedRow.compareTo(Row o)
static InputRow	Rows.toCaseInsensitiveInputRow(Row row, List<String> dimensions)

Uses of Row in io.druid.indexer.hadoop

Classes in io.druid.indexer.hadoop that implement Row

Modifier and Type	Class and Description
class	SegmentInputRow SegmentInputRow serves as a marker that these InputRow instances have already been combined and they contain the columns as they show up in the segment after ingestion, not what you would see in raw data.

Methods in io.druid.indexer.hadoop with parameters of type Row

Modifier and Type	Method and Description
int	SegmentInputRow.compareTo(Row row)

Uses of Row in io.druid.query.groupby

Methods in io.druid.query.groupby that return types with arguments of type Row

Modifier and Type	Method and Description
com.metamx.common.guava.Sequence<Row>	GroupByQuery.applyLimit(com.metamx.common.guava.Sequence<Row> results)
QueryRunner<Row>	GroupByQueryRunnerFactory.createRunner(Segment segment)
CacheStrategy<Row,Object,GroupByQuery>	GroupByQueryQueryToolChest.getCacheStrategy(GroupByQuery query)
com.fasterxml.jackson.core.type.TypeReference<Row>	GroupByQueryQueryToolChest.getResultTypeReference()
QueryToolChest<Row,GroupByQuery>	GroupByQueryRunnerFactory.getToolchest()
com.google.common.base.Function<Row,Row>	GroupByQueryQueryToolChest.makePostComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
com.google.common.base.Function<Row,Row>	GroupByQueryQueryToolChest.makePostComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
com.google.common.base.Function<Row,Row>	GroupByQueryQueryToolChest.makePreComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
com.google.common.base.Function<Row,Row>	GroupByQueryQueryToolChest.makePreComputeManipulatorFn(GroupByQuery query, MetricManipulationFn fn)
QueryRunner<Row>	GroupByQueryQueryToolChest.mergeResults(QueryRunner<Row> runner)
QueryRunner<Row>	GroupByQueryRunnerFactory.mergeRunners(ExecutorService exec, Iterable<QueryRunner<Row>> queryRunners)
QueryRunner<Row>	GroupByQueryQueryToolChest.preMergeQueryDecoration(QueryRunner<Row> runner)
com.metamx.common.guava.Sequence<Row>	GroupByQueryEngine.process(GroupByQuery query, StorageAdapter storageAdapter)
Query<Row>	GroupByQuery.withDataSource(DataSource dataSource)

Method parameters in io.druid.query.groupby with type arguments of type Row

Modifier and Type	Method and Description
com.metamx.common.guava.Sequence<Row>	GroupByQuery.applyLimit(com.metamx.common.guava.Sequence<Row> results)
QueryRunner<Row>	GroupByQueryQueryToolChest.mergeResults(QueryRunner<Row> runner)
QueryRunner<Row>	GroupByQueryRunnerFactory.mergeRunners(ExecutorService exec, Iterable<QueryRunner<Row>> queryRunners)
QueryRunner<Row>	GroupByQueryQueryToolChest.preMergeQueryDecoration(QueryRunner<Row> runner)

Uses of Row in io.druid.query.groupby.having

Methods in io.druid.query.groupby.having with parameters of type Row

Modifier and Type	Method and Description
boolean	OrHavingSpec.eval(Row row)
boolean	NotHavingSpec.eval(Row row)
boolean	NeverHavingSpec.eval(Row row)
boolean	LessThanHavingSpec.eval(Row row)
boolean	HavingSpec.eval(Row row) Evaluates if a given row satisfies the having spec.
boolean	GreaterThanHavingSpec.eval(Row row)
boolean	EqualToHavingSpec.eval(Row row)
boolean	DimensionSelectorHavingSpec.eval(Row row)
boolean	AndHavingSpec.eval(Row row)
boolean	AlwaysHavingSpec.eval(Row row)

Uses of Row in io.druid.query.groupby.orderby

Methods in io.druid.query.groupby.orderby that return types with arguments of type Row

Modifier and Type	Method and Description
com.google.common.base.Function<com.metamx.common.guava.Sequence<Row>,com.metamx.common.guava.Sequence<Row>>	NoopLimitSpec.build(List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs)
com.google.common.base.Function<com.metamx.common.guava.Sequence<Row>,com.metamx.common.guava.Sequence<Row>>	NoopLimitSpec.build(List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs)
com.google.common.base.Function<com.metamx.common.guava.Sequence<Row>,com.metamx.common.guava.Sequence<Row>>	LimitSpec.build(List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs)
com.google.common.base.Function<com.metamx.common.guava.Sequence<Row>,com.metamx.common.guava.Sequence<Row>>	LimitSpec.build(List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs)
com.google.common.base.Function<com.metamx.common.guava.Sequence<Row>,com.metamx.common.guava.Sequence<Row>>	DefaultLimitSpec.build(List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs)
com.google.common.base.Function<com.metamx.common.guava.Sequence<Row>,com.metamx.common.guava.Sequence<Row>>	DefaultLimitSpec.build(List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs)

Uses of Row in io.druid.segment.incremental

Methods in io.druid.segment.incremental that return types with arguments of type Row

Modifier and Type	Method and Description
Iterable<Row>	IncrementalIndex.iterableWithPostAggregations(List<PostAggregator> postAggs, boolean descending)
Iterator<Row>	IncrementalIndex.iterator()